Honeycomb currently has 2 active AI-related roles in our index. The most common open titles are: Senior Software Engineer - AI Intelligence, Senior Software Engineer - LLM Observability. Most positions are in Engineering.
Honeycomb's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Honeycomb is hiring AI talent in: United States (1 role), Canada (1 role).
Job postings at Honeycomb most frequently reference: llm observability, agent orchestration, model serving, rag, evals.
In the past 30 days, Honeycomb has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Solution Architect- EMEA Senior Solution Architect for Honeycomb, a company focused on observability tools. This role involves owning the technical strategy for sales opportunities, leading customer evaluations and proofs of concept, and translating customer needs into technical solutions. The position requires deep knowledge of observability, distributed systems, and cloud technologies, with a focus on pre-sales and customer-facing technical experience. | — | 0 |
| Senior Solution Architect- EMEA Senior Solution Architect for Honeycomb, a company focused on observability tools. The role involves owning technical strategy for sales opportunities, leading discovery and solution design, running complex evaluations and proofs of concept, and translating customer architectures into solution narratives. It requires hands-on technical experience in observability, distributed systems, cloud environments, and containers, with a focus on pre-sales and customer-facing technical roles. | — | 0 |
| Senior Technical Customer Success Manager This role is a Senior Technical Customer Success Manager responsible for managing post-sales relationships with strategic enterprise customers, helping them derive business value from Honeycomb's observability platform. The role involves translating business goals into technical strategies, building senior stakeholder relationships, leading customer lifecycle programs, identifying success patterns, and representing the voice of the customer to Product and Engineering teams. It also involves contributing to customer-facing content and staying informed on industry trends in observability and cloud-native development. While the company works with AI companies and the product may be used in AI contexts, this role itself is not directly building or researching AI/ML models. |
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| Senior Solution Architect - EMEA Senior Solution Architect for Honeycomb, a company focused on observability tools. This role involves owning technical strategy for sales opportunities, leading customer evaluations, and translating customer needs into technical solutions. Requires deep knowledge of observability, distributed systems, and cloud environments, with experience in pre-sales or solution architecture. | — | 0 |
| Senior Solution Architect - EMEA Senior Solution Architect for Honeycomb, a company focused on observability tools. This role involves owning technical strategy for sales opportunities, leading customer evaluations, and translating customer needs into technical solutions. It requires deep knowledge of observability, distributed systems, cloud environments, and containers, with a focus on B2B SaaS pre-sales experience. The role also involves collaborating with various internal teams and mentoring junior architects. | — | 0 |